Microstructure of frontoparietal connections predicts individual resistance to sleep deprivation

被引:43
作者
Cui, Jiaolong [1 ,2 ]
Tkachenko, Olga [1 ]
Gogel, Hannah [1 ]
Kipman, Maia [1 ]
Preer, Lily A. [1 ]
Weber, Mareen [1 ,2 ]
Divatia, Shreya C. [1 ]
Demers, Lauren A. [1 ]
Olson, Elizabeth A. [1 ,2 ]
Buchholz, Jennifer L. [1 ]
Bark, John S. [1 ]
Rosso, Isabelle M. [1 ,2 ]
Rauch, Scott L. [1 ,2 ]
Killgore, William D. S. [1 ,2 ,3 ]
机构
[1] McLean Hosp, Social Cognit & Affect Neurosci Lab, Belmont, MA 02178 USA
[2] Harvard Univ, Sch Med, Dept Psychiat, Boston, MA 02115 USA
[3] Univ Arizona, Dept Psychiat, Tucson, AZ USA
关键词
Sleep deprivation; Diffusion tensor imaging; Functional MRI; Working memory; Fiber tractography; Superior longitudinal fasciculus; Fronto-parietal activation; OLIVOCEREBELLAR CONDUCTION TIME; WORKING-MEMORY; WHITE-MATTER; BRAIN ACTIVATION; BASE-LINE; DIFFUSION; VULNERABILITY; PERFORMANCE; TASK; MYELINATION;
D O I
10.1016/j.neuroimage.2014.11.035
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
Sleep deprivation (SD) can degrade cognitive functioning, but growing evidence suggests that there are large individual differences in the vulnerability to this effect. Some evidence suggests that baseline differences in the responsiveness of a fronto-parietal attention system that is activated during working memory (WM) tasks may be associated with the ability to sustain vigilance during sleep deprivation. However, the neurocircuitry underlying this network remains virtually unexplored. In this study, we employed diffusion tensor imaging (DTI) to investigate the association between the microstructure of the axonal pathway connecting the frontal and parietal regions-i.e., the superior longitudinal fasciculus (SLF)-and individual resistance to SD. Thirty healthy participants (15 males) aged 20-43 years underwent functional magnetic resonance imaging (fMRI) and diffusion tensor imaging (DTI) at rested wakefulness prior to a 28-hour period of SD. Task-related fronto-parietal fMRI activation clusters during a Sternberg WM Task were localized and used as seed regions for probabilistic fiber tractography. DTI metrics, including fractional anisotropy, mean diffusivity, axial and radial diffusivity were measured in the SLF. The psychomotor vigilance test (PVT) was used to evaluate resistance to SD. We found that activation in the left inferior parietal lobule (IPL) and dorsolateral prefrontal cortex (DLPFC) positively correlated with resistance. Higher fractional anisotropy of the left SLF comprising the primary axons connecting IPL and DLPFC was also associated with better resistance. These findings suggest that individual differences in resistance to SD are associated with the functional responsiveness of a fronto-parietal attention system and the microstructural properties of the axonal interconnections. (C) 2014 Elsevier Inc. All rights reserved.
引用
收藏
页码:123 / 133
页数:11
相关论文
共 49 条
[1]  
[Anonymous], 2006, Fiber Pathways of the Brain, DOI DOI 10.1093/ACPROF:OSO/9780195104233.003.0014
[2]   Non-uniform olivocerebellar conduction time in the vermis of the rat cerebellum [J].
Baker, MR ;
Edgley, SA .
JOURNAL OF PHYSIOLOGY-LONDON, 2006, 570 (03) :501-506
[3]   MR DIFFUSION TENSOR SPECTROSCOPY AND IMAGING [J].
BASSER, PJ ;
MATTIELLO, J ;
LEBIHAN, D .
BIOPHYSICAL JOURNAL, 1994, 66 (01) :259-267
[4]   Inferring microstructural features and the physiological state of tissues from diffusion-weighted images [J].
Basser, PJ .
NMR IN BIOMEDICINE, 1995, 8 (7-8) :333-344
[5]   The basis of anisotropic water diffusion in the nervous system - a technical review [J].
Beaulieu, C .
NMR IN BIOMEDICINE, 2002, 15 (7-8) :435-455
[6]   Probabilistic diffusion tractography with multiple fibre orientations: What can we gain? [J].
Behrens, T. E. J. ;
Berg, H. Johansen ;
Jbabdi, S. ;
Rushworth, M. F. S. ;
Woolrich, M. W. .
NEUROIMAGE, 2007, 34 (01) :144-155
[7]   Toward accurate diagnosis of white matter pathology using diffusion tensor imaging [J].
Budde, Matthew D. ;
Kim, Joong Hee ;
Liang, Hsiao-Fang ;
Schmidt, Robert E. ;
Russell, John H. ;
Cross, Anne H. ;
Song, Sheng-Kwei .
MAGNETIC RESONANCE IN MEDICINE, 2007, 57 (04) :688-695
[8]   Microstructure of Frontoparietal Connections Predicts Cortical Responsivity and Working Memory Performance [J].
Burzynska, A. Z. ;
Nagel, I. E. ;
Preuschhof, C. ;
Li, S-C ;
Lindenberger, U. ;
Baeckman, L. ;
Heekeren, H. R. .
CEREBRAL CORTEX, 2011, 21 (10) :2261-2271
[9]   Are individual differences in fatigue vulnerability related to baseline differences in cortical activation? [J].
Caldwell, JA ;
Mu, QW ;
Smith, JK ;
Mishory, A ;
Caldwell, JL ;
Peters, G ;
Brown, DL ;
George, MS .
BEHAVIORAL NEUROSCIENCE, 2005, 119 (03) :694-707
[10]   Functional imaging of working memory following normal sleep and after 24 and 35 h of sleep deprivation: Correlations of fronto-parietal activation with performance [J].
Chee, Michael W. L. ;
Chuah, Lisa Y. M. ;
Venkatraman, Vinod ;
Chan, Wai Yen ;
Philip, Pierre ;
Dinges, David F. .
NEUROIMAGE, 2006, 31 (01) :419-428